LOGESHWARAN S
Puducherry
Summary
Detail-oriented IT Support professional with 1 year of experience in troubleshooting hardware, software, and network issues. Skilled in providing technical assistance, resolving user queries, and maintaining system performance to ensure smooth IT operations. Adept at delivering prompt solutions, improving user satisfaction, and supporting organizational productivity.
Overview
1
1
year of professional experience
Work History
IT Support
Lucas-TVS Limited
Puducherry
06.2023 - 08.2024
- Coordinated IT support services such as hardware and software installation and maintenance.
- Collaborated closely with other departments such as operations teams and IT support staff when needed.
- Provided general IT support to staff members including troubleshooting technical issues.
- IT related vendor payments & Po process through SAP & regular follow up
- IT assets & documentation work
Education
B.Tech - Computer Science
Sri Venkateshwara Engineering Technolgy
Puducherry, India07-2023
HSC - Computer Science
Holy Flowers Hr. Sec. School
Puducherry, India03-2019
SSC -
Holy Flowers Hr. Sec. School
Puducherry, India03-2017
Skills
- Hardware installation
- Software maintenance
- Vendor payment processing
- IT asset management
- Project management
- Problem Solving: Strong analytical and trouble shooting skills
- Patience and conflict handling
- Excellent verbal communication
- Good knowledge in MS office & excel
Languages
- Tamil
- English
Professional Development
- Completed "Cloud security fundamentals and cyber security foundation" virtual program organized by PALO ALTO Cyber security academy
- Completed Process mining virtual internship, Conducted by AICTE
- Competed "game development using Pygame"Virtual Program Organized by GUVI
Projects
* Created a website for our computer science department Which includes the faculty details, Student corner and Placement achievement our department.
*Train Track Crack Identifier:
Developed a machine learning model for the classification of train track using image data, implemented convolutional neural networks to accurately identify and classify different types of cracks contributing to improved maintenance and safety measures in railway industry.
Timeline
IT Support
Lucas-TVS Limited
06.2023 - 08.2024
B.Tech - Computer Science
Sri Venkateshwara Engineering Technolgy
HSC - Computer Science
Holy Flowers Hr. Sec. School
SSC -
Holy Flowers Hr. Sec. School
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